Answer:
The smoke from the stoves contributes to air pollution.
Explanation:
United States is facing the problem of emission of toxins from the wood stoves. Eighty percent of the wood-burning stoves have been banned by the Environmental Protection Energy because of the rising concern of heavily polluted air. EPA has taken some steps to counter this problem such as requirement of emission performance label, incentives, and benefits for the installation of cleaner wood-burning alternatives, etc
Denise is now facing <u>"frictional" </u>unemployment.
Frictional unemployment is when workers are jobless and searching for work in a solid economy. It doesn't make a difference on the off chance that they leave willfully or are let go. Others might restore the work compel. It's separated from different kinds of unemployment in light of the fact that it's a piece of typical work turnover.
Frictional unemployment is unavoidable. Fortunately it's typically here and now. It's one of the parts of common unemployment. It is the most minimal rate of joblessness in a developing economy . unemployment underneath that level means businesses can't discover enough specialists to continue delivering everything they can. It moderates monetary development.
A...bay? I don't really know, Im just guessing.
Answer:Well in my opninon i would be angry and mad cause i am being separated from my faamily and friends but sooner i would feel good cause u get use to it fast>.<
Answer:
confounding variable; lowered.
Explanation:
In the field of statistical analysis, a <u>confounding variable</u> is one that influences both the independent variable and the dependent variable. When an experimented is designed, the researcher wants to study the effect the independent variable has on the dependent variable. However, if there's a third variable that can influence them, it can cause a spurious correlation.
The psychologist wanted to test the effects using the new computer program (independent variable) had in helping students learn math (dependent variable). But when she divided the group in two, separating them by gender, she introduced a third variable (confounding variable) that wasn't accounted for when designing the experiment and that can influence either variable. <u>Because of this, the internal validity of the study has been </u><u>lowered</u><u>.</u>